A couple days ago IBM has announced the new IBM z/OS Platform for Apache
Spark, and it is available March 25, 2016. More details are available here:

http://www.ibm.com/systems/z/os/zos/apache-spark.html

Also refer to the IBM announcement letter, available here:

http://www.ibm.com/common/ssi/rep_ca/7/897/ENUS216-067/ENUS216-067.PDF

If you are a z/OS 2.1 (or higher) licensee, you can order this new, native
z/OS version of Apache Spark at no additional charge. Yes, that's right,
free in the common sense of the word at least. Order IBM program number
5655-AAB through Shopz if available in your country or via your other
regular ordering system if not. If/when you need IBM Web and telephone
technical support to open PMRs there is a (reasonable) fee for that, and
you would order IBM program number 5655-AAC. But there's no time limit,
Single Version Charge, or other such considerations. Just go grab Spark,
then decide if/when you want IBM support.

To run the IBM z/OS Platform for Apache Spark you will need a zEC12, zBC12,
or a higher model machine. You will also need z/OS 2.1 or higher (one LPAR
or z/VM guest anyway), the IBM 64-bit SDK for z/OS (Java Technology
Edition, available at no additional charge), and the Bourne Again Shell
(bash) available for download from Rocket Software at no additional charge.
Precise release requirements are in the documentation.

Apache Spark is an open source, in-memory processing engine designed for
"Big Data" analytics. Data scientists and developers can use Scala, Python,
and SQL with Apache Spark, as they prefer and in familiar ways, to access
the rich collection of data sources available right on z/OS -- with
efficiency, speed, security, reliability, etc. That includes VSAM, DB2, IMS
DB, PDSEs...even SMF data. Platform components include the Apache Spark
core, Spark SQL, Spark Streaming, Machine Learning Library, and Graphx. You
can analyze data in place, cut down on data movement costs and complexity
(and security risks), aggregate with other data stores, and even
incorporate Spark analytics into workflows, transactions, and batch
sequences on z/OS.

I'm looking forward to hearing reports about your experiences with Apache
Spark for z/OS.

--------------------------------------------------------------------------------------------------------
Timothy Sipples
IT Architect Executive, Industry Solutions, IBM z Systems, AP/GCG/MEA
E-Mail: [email protected]

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